Improve language tag

Hi! As the model is multilingual, this is a PR to add other languages than English to the language tag to improve the referencing. Note that 29 languages are announced in the README, but only 13 are explicitly listed. I was therefore only able to add these 13 languages.

README.md

@@ -1,91 +1,102 @@
----
-license: other
-license_name: qwen-research
-license_link: https://huggingface.co/Qwen/Qwen2.5-3B/blob/main/LICENSE
-language:
-- fr
-- en
-pipeline_tag: text-generation
-tags:
-- chat
-- qwen
-- qwen2.5
-- finetune
-- french
-- legal
-- loi
-library_name: transformers
-inference: false
-model_creator: MaziyarPanahi
-quantized_by: MaziyarPanahi
-base_model: Qwen/Qwen2.5-3B
-model_name: calme-3.3-baguette-3b
-datasets:
-- MaziyarPanahi/calme-legalkit-v0.2
----
-
-<img src="./calme_3.png" alt="Calme-3 Models" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
-
-> [!TIP]
-> This is avery small model, so it might not perform well for some prompts and may be sensitive to hyper parameters. I would appreciate any feedback to see if I can fix any issues in the next iteration. ❤️
-
-
-# MaziyarPanahi/calme-3.3-baguette-3b
-
-This model is an advanced iteration of the powerful `Qwen/Qwen2.5-3B`, specifically fine-tuned to enhance its capabilities in French Legal domain.
-
-
-# ⚡ Quantized GGUF
-
-All GGUF models are available here: [MaziyarPanahi/calme-3.3-baguette-3b-GGUF](https://huggingface.co/MaziyarPanahi/calme-3.3-baguette-3b-GGUF)
-
-
-# 🏆 [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
-
-Leaderboard 2 coming soon!
-
-
-# Prompt Template
-
-This model uses `ChatML` prompt template:
-
-```
-<|im_start|>system
-{System}
-<|im_end|>
-<|im_start|>user
-{User}
-<|im_end|>
-<|im_start|>assistant
-{Assistant}
-````
-
-# How to use
-
-
-```python
-
-# Use a pipeline as a high-level helper
-
-from transformers import pipeline
-
-messages = [
-    {"role": "user", "content": "Who are you?"},
-]
-pipe = pipeline("text-generation", model="MaziyarPanahi/calme-3.3-baguette-3b")
-pipe(messages)
-
-
-# Load model directly
-
-from transformers import AutoTokenizer, AutoModelForCausalLM
-
-tokenizer = AutoTokenizer.from_pretrained("MaziyarPanahi/calme-3.3-baguette-3b")
-model = AutoModelForCausalLM.from_pretrained("MaziyarPanahi/calme-3.3-baguette-3b")
-```
-
-
-
-# Ethical Considerations
-
+---
+license: other
+license_name: qwen-research
+license_link: https://huggingface.co/Qwen/Qwen2.5-3B/blob/main/LICENSE
+language:
+- zho
+- eng
+- fra
+- spa
+- por
+- deu
+- ita
+- rus
+- jpn
+- kor
+- vie
+- tha
+- ara
+pipeline_tag: text-generation
+tags:
+- chat
+- qwen
+- qwen2.5
+- finetune
+- french
+- legal
+- loi
+library_name: transformers
+inference: false
+model_creator: MaziyarPanahi
+quantized_by: MaziyarPanahi
+base_model: Qwen/Qwen2.5-3B
+model_name: calme-3.3-baguette-3b
+datasets:
+- MaziyarPanahi/calme-legalkit-v0.2
+---
+
+<img src="./calme_3.png" alt="Calme-3 Models" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
+
+> [!TIP]
+> This is avery small model, so it might not perform well for some prompts and may be sensitive to hyper parameters. I would appreciate any feedback to see if I can fix any issues in the next iteration. ❤️
+
+
+# MaziyarPanahi/calme-3.3-baguette-3b
+
+This model is an advanced iteration of the powerful `Qwen/Qwen2.5-3B`, specifically fine-tuned to enhance its capabilities in French Legal domain.
+
+
+# ⚡ Quantized GGUF
+
+All GGUF models are available here: [MaziyarPanahi/calme-3.3-baguette-3b-GGUF](https://huggingface.co/MaziyarPanahi/calme-3.3-baguette-3b-GGUF)
+
+
+# 🏆 [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
+
+Leaderboard 2 coming soon!
+
+
+# Prompt Template
+
+This model uses `ChatML` prompt template:
+
+```
+<|im_start|>system
+{System}
+<|im_end|>
+<|im_start|>user
+{User}
+<|im_end|>
+<|im_start|>assistant
+{Assistant}
+````
+
+# How to use
+
+
+```python
+
+# Use a pipeline as a high-level helper
+
+from transformers import pipeline
+
+messages = [
+    {"role": "user", "content": "Who are you?"},
+]
+pipe = pipeline("text-generation", model="MaziyarPanahi/calme-3.3-baguette-3b")
+pipe(messages)
+
+
+# Load model directly
+
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+tokenizer = AutoTokenizer.from_pretrained("MaziyarPanahi/calme-3.3-baguette-3b")
+model = AutoModelForCausalLM.from_pretrained("MaziyarPanahi/calme-3.3-baguette-3b")
+```
+
+
+
+# Ethical Considerations
+
 As with any large language model, users should be aware of potential biases and limitations. We recommend implementing appropriate safeguards and human oversight when deploying this model in production environments.